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Inhibition of methylthioadenosine phosphorylase provides protection from experimental acute kidney injury

GSE298469 Mus musculus (mouse) RNA-seq (gene expression) 17 samples Submitted 2025/06/04 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 17 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
17 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Inhibition of methylthioadenosine phosphorylase protects from experimental acute kidney injuryAmerican journal of physiology. Renal physiology · 2025
Summary (written by the submitters)
This dataset presents transcriptomic profiling of mouse kidney cortex in a model of ischemia-reperfusion injury (IRI) with and without methylthioadenosine phosphorylase (MTAP) inhibition (MTAPi). Male C57BL/6J mice were assigned to sham (n=6), IRI with vehicle (n=6), or IRI with MTAP inhibitor (MTAPi; n=5) groups. MTAPi (MT-DADMe-ImmA, AdooQ Bioscience, Cat# A13651) was administered intraperitoneally 4.5 hours before ischemia.
Read the full summary ↓
Total RNA was extracted from kidney cortices, depleted of rRNA, and processed using a directional library prep kit. Libraries were sequenced on the Illumina NovaSeq 6000 platform (100 bp paired-end). Transcriptomic analysis revealed that MTAP inhibition reduced injury-associated gene expression, suppressed inflammatory and stress pathways, and preserved epithelial and metabolic gene programs. These data provide insight into the protective role of MTAP inhibition in acute kidney injury.
Published in
Inhibition of methylthioadenosine phosphorylase protects from experimental acute kidney injury
Saliba A, Chen Y, Nelson JW et al. · American journal of physiology. Renal physiology 2025 · PMID 40602784 · doi:10.1152/ajprenal.00138.2025
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE298469_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1269508 and SRA study SRP588575. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 17 more — browse all 17 samples with per-sample file links →

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